Integrated workflow for organism-level phenotyping and machine-learning inference.

<p>Workflow schematic: (i) establish a non-adverse exposure using hatching, malformation, and survival endpoints; (ii) record behavioral (tail-swing), cardiac (heart rate), and brain-wide neural activity readouts; (iii) integrate features and perform machine-learning-based clustering against a...

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Xehetasun bibliografikoak
Egile nagusia:	Zhuangbin Zheng (22676304) (author)
Beste egile batzuk:	Fanlei Ran (7352957) (author), Lushan Liang (22676307) (author), Yiqian Zhang (752795) (author), Xianwen Li (3910537) (author), Liqun Zhang (115900) (author), Lijun Bi (121470) (author)
Argitaratua:	2025
Gaiak:	Pharmacology Biotechnology Evolutionary Biology Immunology Infectious Diseases Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified total antioxidant capacity recent studies indicate prior preparation work pollutant degradation owing larva zebrafish (< high reducing power danio rerio </ ebl ), reference transiently generated e div >< p 1 mv ), biomedical effects study level effects ebl ’ biomedical potential biomedical application widely studied uric acid reduction potential precluding storage ph 13 orp 47 new potentials hypoglycemic drugs hydrated electrons findings motivate biological investigation adverse concentration
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Integrated workflow for organism-level phenotyping and machine-learning inference.

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